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The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Asynchronous BCI and local neural classifiers: an overview of the adaptive brain interface project

Open access
Millan, Jdel.R., Mourino, J.·2003·IEEE Transactions on Neural Systems and Rehabilitation Engineering

Abstract

In this communication, we give an overview of our work on an asynchronous brain-computer interface (where the subject makes self-paced decisions on when to switch from one mental task to the next) that responds every 0.5 s. A local neural classifier tries to recognize three different mental tasks; it may also respond "unknown" for uncertain samples as the classifier has incorporated statistical rejection criteria. We report our experience with 15 subjects. We also briefly describe two brain-actuated applications we have developed: a virtual keyboard and a mobile robot (emulating a motorized wheelchair).

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Crossref · 10.1109/tnsre.2003.814435

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Metadata

Authors
Millan, J. R., & Mourino, J.
Venue
IEEE Transactions on Neural Systems and Rehabilitation Engineering
Published
2003-06
Volume
11
Issue
2
Pages
159-161
ISSN
  • 1534-4320 (ISSN-L)
  • 1558-0210
OpenAlex
W2149090293
Cited by
292
References
4
FWCI
3.88
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Asynchronous BCI and local neural classifiers: an overview of the adaptive brain interface project. https://app.cochat.ai/papers/10.1109/tnsre.2003.814435
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Millan, J. R., & Mourino, J. (2003). Asynchronous BCI and local neural classifiers: an overview of the adaptive brain interface project. IEEE Transactions on Neural Systems and Rehabilitation Engineering. https://doi.org/10.1109/tnsre.2003.814435

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.